Search alternatives:
significant variations » significant associations (Expand Search), significant implications (Expand Search), significant correlations (Expand Search)
variations decrease » variation increases (Expand Search)
changes increases » change increases (Expand Search), large increases (Expand Search), cases increased (Expand Search)
significant variations » significant associations (Expand Search), significant implications (Expand Search), significant correlations (Expand Search)
variations decrease » variation increases (Expand Search)
changes increases » change increases (Expand Search), large increases (Expand Search), cases increased (Expand Search)
-
1
-
2
-
3
Interannual variation rate, coefficient of variation and change trend of NDVI.
Published 2022Subjects: -
4
-
5
-
6
-
7
-
8
Top 10 significantly changed metabolites and lipids in each clinical outcome measure group.
Published 2023“…(A) MMS status, yes vs. no (B) change in (Δ) QMG (> 40% vs. < 0%) (C) change in (Δ) MG-ADL (> 40% vs. < 0%), (D) Responder versus Non-Responder. …”
-
9
-
10
-
11
-
12
-
13
-
14
-
15
Spatial variation of water availability in Hebi.
Published 2024“…The results indicate that: (1) During the study period, the overall land use type in Hebi City has been constantly changing, with the most significant conversion from arable land to other land types; combined with its landscape pattern index, Hebi City has a general characteristic of significant landscape fragmentation and complexity in land use. (2) Habitat quality in Hebi shows an overall trend towards better development, with water availability decreasing and then increasing; the zoning of ecosystem services in Hebi is divided into three classes: superior, good and general, with the area covered by the superior and general classes expanding year by year. (3) Correlation analysis by SPSS software shows that the correlation between habitat quality and landscape pattern index is greater than the correlation between habitat quality and climate change. …”
-
16
Estimated annual variation in predicted skin lesion point prevalence by pod.
Published 2023Subjects: -
17
-
18
-
19
-
20